Volatility clustering and the bid–ask spread: Exchange rate behavior in early Renaissance Florence

This paper investigates the nature and behavior of the domestic (local) currency market that existed in Florence (Italy) during the late 14th and early 15th centuries (a.k.a. the Early Renaissance). We find that the extant volatility and microstructure models developed for modern asset markets are able to describe the statistical volatility properties observed for the denaro-florin exchange rate. Volatility is clustered and is related to the bid–ask spread. This supports the notion that, although there are huge social, industrial and technological differences between capitalism then and now, individuals trading financial assets in an organized venue behave in a similar manner.     

Manifestations of compulsiveness in the consumer-marketplace domain

The marketing literature exhibits a consistent lack of concern to recognize the distinct differences among the various possible manifestations of compulsiveness in the consumer-marketplace domain. The practice of using terms pertaining to different manifestations of compulsiveness synonymously, especially when the meaning of the term “compulsive behavior” is itself under debate, creates further semantic uncertainties that hinder typological endeavors in the budding area of abnormal or deviant consumer behavior. This article attempts to remove such uncertainties by elucidating and establishing the differences among the above manifestations.     

Options on bond futures: Isolating the risk premium

The introduction of unspanned sources of risk (and frictions) implies that option prices include a risk premium. Prima facie evidence of the existence of risk premia in option prices is contained in the implied volatility smile patterns reported in the literature. This article isolates the risk premium (defined as the simple difference between estimated and observed option prices) on options on U.K. Gilts, German Bunds, and U.S. Treasury bond futures using models that include price jumps and stochastic volatility. This study finds that single and multi‐factor stochastic volatility models with jumps may explain the empirical regularities observed in bond futures. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:169–215, 2003     

Responsibility, Taint, and Ethical Distance in Business Ethics

Much light can be shed on events which characterize or underlie scandals at firms such as Enron, Arthur Andersen, Worldcom, ImClone, and Tyco by appealing to the notion of ethical distance. Various inquiries have highlighted the difficulties in finding or identifying particular individuals to blame for particular events, and in the context of situations as complex as these it can sometimes be helpful to investigate the comparative ethical distance of various participants in these events. In this essay I offer a characterization of ethical distance in terms of moral responsibility, and in doing so I describe and illustrate the rough inverse correlation between moral distance and degrees of moral responsibility. I urge that the concept of ethical distance is capable of shedding light upon situations in which several people are involved in bringing about a state of affairs. I then argue that moral responsibility cannot do justice to all situations involving ethical distance. When the distance between a person and a state of affairs grows sufficiently large, a different type of treatment is called for, and I introduce the notion of moral taint to describe the moral status of agents in these situations.     

Projecting the future size and health status of the U.S. elderly population

"A projection model based on a multivariate continuous state, stochastic process is presented. The model allows multiple time-varying covariates to be used so parameters can be estimated from time series information on health changes and mortality, and their interaction. Health changes are simulated by altering parameters controlling the age trajectory and diffusion of risk factor means, variances, and covariances....By increasing the information used in projections it may be possible to better (a) anticipate the state of health at extreme ages, (b) forecast changes in health at specific ages over time, (c) stimulate the effects of specific interventions, and (d) determine the sensitivity of outcomes to a range of interventions."     

RECEIPT OF INFORMATION AND INFLUENCE OVER DECISIONS IN HOSPITALS BY THE BOARD, CHIEF EXECUTIVE OFFICER AND MEDICAL STAFF

This article examines relationships between receipt of internal administrative information in hospitals, influence over general management decisions, and the extent to which certain organizational characteristics predict the receipt of information by each of the three major groups in hospitals: the board, the CEO, and the medical staff. Using a US national sample of 287 non-profit community hospitals, CEOs were found to receive the greatest amount of information and had highest influence while medical staffs were lowest on both measures. of five major organizational characteristics, hospital size emerged as the single strongest predictor of receipt of information for both boards (beta =?0.28, p 0.001) and medical staffs (beta =?0.42, p 0.001). Overall, the five dependent variables explained 18 per cent of the variance in receipt of information by boards and 28 percent of the variance for medical staffs.